In this paper, we propose an orientation free method for unconstrained cursive handwritten Chinese word recognition. By a novel gravity center balancing method, the orientation of...
The effectiveness of kernel fisher discrimination analysis (KFDA) has been demonstrated by many pattern recognition applications. However, due to the large size of Gram matrix to ...
This paper presents an optimized Hill Climbing algorithm to select a subset of features for handwritten character recognition. The search is conducted taking into account a random ...
Carlos M. Nunes, Alceu de Souza Britto Jr., Celso ...
This paper presents a character-structure-guided approach to estimating possible orientations of a rotated isolated online handwritten Chinese character. Using the estimated orien...
This paper deals with a new method for recognition of offline Handwritten noncompound Devnagari Characters in two stages. It uses two well known and established pattern recognitio...
Sandhya Arora, Debotosh Bhattacharjee, Mita Nasipu...